Overview

Dataset statistics

Number of variables41
Number of observations392
Missing cells7163
Missing cells (%)44.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory125.7 KiB
Average record size in memory328.3 B

Variable types

DateTime1
Categorical3
Numeric21
Unsupported16

Alerts

state has constant value ""Constant
positiveScore has constant value ""Constant
totalTestEncountersViralIncrease has constant value ""Constant
death is highly overall correlated with deathConfirmed and 12 other fieldsHigh correlation
deathConfirmed is highly overall correlated with death and 12 other fieldsHigh correlation
deathIncrease is highly overall correlated with hospitalizedCurrently and 4 other fieldsHigh correlation
deathProbable is highly overall correlated with death and 12 other fieldsHigh correlation
hospitalized is highly overall correlated with death and 10 other fieldsHigh correlation
hospitalizedCumulative is highly overall correlated with death and 10 other fieldsHigh correlation
hospitalizedCurrently is highly overall correlated with deathIncrease and 5 other fieldsHigh correlation
hospitalizedIncrease is highly overall correlated with death and 7 other fieldsHigh correlation
inIcuCurrently is highly overall correlated with deathIncrease and 4 other fieldsHigh correlation
negative is highly overall correlated with death and 12 other fieldsHigh correlation
negativeIncrease is highly overall correlated with totalTestResultsIncrease and 2 other fieldsHigh correlation
onVentilatorCurrently is highly overall correlated with deathIncrease and 5 other fieldsHigh correlation
positive is highly overall correlated with death and 12 other fieldsHigh correlation
positiveCasesViral is highly overall correlated with death and 12 other fieldsHigh correlation
positiveIncrease is highly overall correlated with death and 15 other fieldsHigh correlation
totalTestResults is highly overall correlated with death and 12 other fieldsHigh correlation
totalTestResultsIncrease is highly overall correlated with negativeIncrease and 2 other fieldsHigh correlation
totalTestsPeopleViral is highly overall correlated with death and 12 other fieldsHigh correlation
totalTestsPeopleViralIncrease is highly overall correlated with death and 9 other fieldsHigh correlation
totalTestsViral is highly overall correlated with death and 9 other fieldsHigh correlation
totalTestsViralIncrease is highly overall correlated with negativeIncrease and 1 other fieldsHigh correlation
deathConfirmed has 30 (7.7%) missing valuesMissing
hospitalized has 106 (27.0%) missing valuesMissing
hospitalizedCumulative has 106 (27.0%) missing valuesMissing
hospitalizedCurrently has 45 (11.5%) missing valuesMissing
inIcuCumulative has 392 (100.0%) missing valuesMissing
inIcuCurrently has 57 (14.5%) missing valuesMissing
negative has 27 (6.9%) missing valuesMissing
negativeTestsAntibody has 392 (100.0%) missing valuesMissing
negativeTestsPeopleAntibody has 392 (100.0%) missing valuesMissing
negativeTestsViral has 392 (100.0%) missing valuesMissing
onVentilatorCumulative has 392 (100.0%) missing valuesMissing
onVentilatorCurrently has 56 (14.3%) missing valuesMissing
positive has 24 (6.1%) missing valuesMissing
positiveCasesViral has 24 (6.1%) missing valuesMissing
positiveTestsAntibody has 392 (100.0%) missing valuesMissing
positiveTestsAntigen has 392 (100.0%) missing valuesMissing
positiveTestsPeopleAntibody has 392 (100.0%) missing valuesMissing
positiveTestsPeopleAntigen has 392 (100.0%) missing valuesMissing
positiveTestsViral has 392 (100.0%) missing valuesMissing
recovered has 392 (100.0%) missing valuesMissing
totalTestEncountersViral has 392 (100.0%) missing valuesMissing
totalTestsAntibody has 392 (100.0%) missing valuesMissing
totalTestsAntigen has 392 (100.0%) missing valuesMissing
totalTestsPeopleAntibody has 392 (100.0%) missing valuesMissing
totalTestsPeopleAntigen has 392 (100.0%) missing valuesMissing
totalTestsPeopleViral has 325 (82.9%) missing valuesMissing
totalTestsViral has 91 (23.2%) missing valuesMissing
date has unique valuesUnique
inIcuCumulative is an unsupported type, check if it needs cleaning or further analysisUnsupported
negativeTestsAntibody is an unsupported type, check if it needs cleaning or further analysisUnsupported
negativeTestsPeopleAntibody is an unsupported type, check if it needs cleaning or further analysisUnsupported
negativeTestsViral is an unsupported type, check if it needs cleaning or further analysisUnsupported
onVentilatorCumulative is an unsupported type, check if it needs cleaning or further analysisUnsupported
positiveTestsAntibody is an unsupported type, check if it needs cleaning or further analysisUnsupported
positiveTestsAntigen is an unsupported type, check if it needs cleaning or further analysisUnsupported
positiveTestsPeopleAntibody is an unsupported type, check if it needs cleaning or further analysisUnsupported
positiveTestsPeopleAntigen is an unsupported type, check if it needs cleaning or further analysisUnsupported
positiveTestsViral is an unsupported type, check if it needs cleaning or further analysisUnsupported
recovered is an unsupported type, check if it needs cleaning or further analysisUnsupported
totalTestEncountersViral is an unsupported type, check if it needs cleaning or further analysisUnsupported
totalTestsAntibody is an unsupported type, check if it needs cleaning or further analysisUnsupported
totalTestsAntigen is an unsupported type, check if it needs cleaning or further analysisUnsupported
totalTestsPeopleAntibody is an unsupported type, check if it needs cleaning or further analysisUnsupported
totalTestsPeopleAntigen is an unsupported type, check if it needs cleaning or further analysisUnsupported
death has 30 (7.7%) zerosZeros
deathIncrease has 34 (8.7%) zerosZeros
deathProbable has 36 (9.2%) zerosZeros
hospitalizedIncrease has 139 (35.5%) zerosZeros
negativeIncrease has 104 (26.5%) zerosZeros
positiveIncrease has 25 (6.4%) zerosZeros
totalTestResults has 24 (6.1%) zerosZeros
totalTestResultsIncrease has 25 (6.4%) zerosZeros
totalTestsPeopleViralIncrease has 326 (83.2%) zerosZeros
totalTestsViralIncrease has 166 (42.3%) zerosZeros

Reproduction

Analysis started2024-01-09 18:42:08.844879
Analysis finished2024-01-09 18:42:46.185465
Duration37.34 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

date
Date

UNIQUE 

Distinct392
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2020-02-10 00:00:00
Maximum2021-03-07 00:00:00
2024-01-09T13:42:46.251935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:46.349063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

state
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
NJ
392 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters784
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNJ
2nd rowNJ
3rd rowNJ
4th rowNJ
5th rowNJ

Common Values

ValueCountFrequency (%)
NJ 392
100.0%

Length

2024-01-09T13:42:46.447594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-09T13:42:46.533170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
nj 392
100.0%

Most occurring characters

ValueCountFrequency (%)
N 392
50.0%
J 392
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 784
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 392
50.0%
J 392
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 784
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 392
50.0%
J 392
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 784
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 392
50.0%
J 392
50.0%

death
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct359
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13653.439
Minimum0
Maximum23574
Zeros30
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:46.614319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112075.25
median15899.5
Q316981.75
95-th percentile22479.95
Maximum23574
Range23574
Interquartile range (IQR)4906.5

Descriptive statistics

Standard deviation6828.0736
Coefficient of variation (CV)0.50009919
Kurtosis-0.14097561
Mean13653.439
Median Absolute Deviation (MAD)2191.5
Skewness-0.96252255
Sum5352148
Variance46622589
MonotonicityNot monotonic
2024-01-09T13:42:46.713990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
7.7%
1 4
 
1.0%
2 2
 
0.5%
15427 1
 
0.3%
15138 1
 
0.3%
15191 1
 
0.3%
15243 1
 
0.3%
15268 1
 
0.3%
15299 1
 
0.3%
15345 1
 
0.3%
Other values (349) 349
89.0%
ValueCountFrequency (%)
0 30
7.7%
1 4
 
1.0%
2 2
 
0.5%
4 1
 
0.3%
7 1
 
0.3%
13 1
 
0.3%
16 1
 
0.3%
22 1
 
0.3%
29 1
 
0.3%
40 1
 
0.3%
ValueCountFrequency (%)
23574 1
0.3%
23557 1
0.3%
23521 1
0.3%
23491 1
0.3%
23449 1
0.3%
23321 1
0.3%
23273 1
0.3%
23252 1
0.3%
23238 1
0.3%
23192 1
0.3%

deathConfirmed
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct358
Distinct (%)98.9%
Missing30
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean13113.13
Minimum1
Maximum21177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:46.815614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile162.85
Q112321.5
median14210.5
Q315496.25
95-th percentile20338.4
Maximum21177
Range21176
Interquartile range (IQR)3174.75

Descriptive statistics

Standard deviation5288.3296
Coefficient of variation (CV)0.40328508
Kurtosis0.87546891
Mean13113.13
Median Absolute Deviation (MAD)1603.5
Skewness-1.1298839
Sum4746953
Variance27966430
MonotonicityNot monotonic
2024-01-09T13:42:46.914228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4
 
1.0%
2 2
 
0.5%
13660 1
 
0.3%
13373 1
 
0.3%
13425 1
 
0.3%
13476 1
 
0.3%
13501 1
 
0.3%
13532 1
 
0.3%
13578 1
 
0.3%
13594 1
 
0.3%
Other values (348) 348
88.8%
(Missing) 30
 
7.7%
ValueCountFrequency (%)
1 4
1.0%
2 2
0.5%
3 1
 
0.3%
5 1
 
0.3%
9 1
 
0.3%
11 1
 
0.3%
16 1
 
0.3%
20 1
 
0.3%
27 1
 
0.3%
44 1
 
0.3%
ValueCountFrequency (%)
21177 1
0.3%
21160 1
0.3%
21124 1
0.3%
21094 1
0.3%
21052 1
0.3%
20990 1
0.3%
20942 1
0.3%
20921 1
0.3%
20907 1
0.3%
20861 1
0.3%

deathIncrease
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct151
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.137755
Minimum-2
Maximum480
Zeros34
Zeros (%)8.7%
Negative1
Negative (%)0.3%
Memory size3.2 KiB
2024-01-09T13:42:47.006438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q17
median23
Q378.25
95-th percentile272.4
Maximum480
Range482
Interquartile range (IQR)71.25

Descriptive statistics

Standard deviation86.712928
Coefficient of variation (CV)1.441905
Kurtosis5.8528115
Mean60.137755
Median Absolute Deviation (MAD)20
Skewness2.3731194
Sum23574
Variance7519.1319
MonotonicityNot monotonic
2024-01-09T13:42:47.104819image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
8.7%
4 14
 
3.6%
7 13
 
3.3%
11 12
 
3.1%
9 11
 
2.8%
3 11
 
2.8%
18 8
 
2.0%
15 8
 
2.0%
8 8
 
2.0%
10 8
 
2.0%
Other values (141) 265
67.6%
ValueCountFrequency (%)
-2 1
 
0.3%
0 34
8.7%
1 4
 
1.0%
2 7
 
1.8%
3 11
 
2.8%
4 14
3.6%
5 8
 
2.0%
6 8
 
2.0%
7 13
 
3.3%
8 8
 
2.0%
ValueCountFrequency (%)
480 1
0.3%
428 1
0.3%
421 1
0.3%
414 1
0.3%
411 1
0.3%
409 1
0.3%
364 1
0.3%
349 1
0.3%
343 1
0.3%
341 1
0.3%

deathProbable
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct143
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1543.8622
Minimum0
Maximum2397
Zeros36
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:47.201550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11660
median1781
Q31829
95-th percentile2246
Maximum2397
Range2397
Interquartile range (IQR)169

Descriptive statistics

Standard deviation683.48582
Coefficient of variation (CV)0.44271166
Kurtosis0.84548651
Mean1543.8622
Median Absolute Deviation (MAD)84.5
Skewness-1.4807999
Sum605194
Variance467152.87
MonotonicityDecreasing
2024-01-09T13:42:47.302490image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
9.2%
1787 16
 
4.1%
1789 14
 
3.6%
1782 12
 
3.1%
1776 11
 
2.8%
1767 11
 
2.8%
1781 10
 
2.6%
1785 9
 
2.3%
1800 8
 
2.0%
2187 7
 
1.8%
Other values (133) 258
65.8%
ValueCountFrequency (%)
0 36
9.2%
1 1
 
0.3%
2 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
16 1
 
0.3%
19 1
 
0.3%
ValueCountFrequency (%)
2397 5
1.3%
2331 7
1.8%
2289 7
1.8%
2246 7
1.8%
2187 7
1.8%
2129 7
1.8%
2121 7
1.8%
2091 7
1.8%
2059 7
1.8%
2021 7
1.8%

hospitalized
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct253
Distinct (%)88.5%
Missing106
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean34937.864
Minimum16373
Maximum65254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:47.398998image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum16373
5-th percentile18107.5
Q121565
median24126
Q346243.25
95-th percentile63096.5
Maximum65254
Range48881
Interquartile range (IQR)24678.25

Descriptive statistics

Standard deviation15788.187
Coefficient of variation (CV)0.45189331
Kurtosis-1.1329743
Mean34937.864
Median Absolute Deviation (MAD)6820
Skewness0.5885284
Sum9992229
Variance2.4926685 × 108
MonotonicityNot monotonic
2024-01-09T13:42:47.496075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21565 8
 
2.0%
20632 4
 
1.0%
21184 3
 
0.8%
24160 3
 
0.8%
19267 3
 
0.8%
21321 3
 
0.8%
21314 2
 
0.5%
19010 2
 
0.5%
20774 2
 
0.5%
21949 2
 
0.5%
Other values (243) 254
64.8%
(Missing) 106
27.0%
ValueCountFrequency (%)
16373 1
0.3%
16597 1
0.3%
16778 1
0.3%
16960 1
0.3%
17121 1
0.3%
17197 1
0.3%
17222 1
0.3%
17390 2
0.5%
17604 1
0.3%
17880 1
0.3%
ValueCountFrequency (%)
65254 1
0.3%
64396 1
0.3%
64338 1
0.3%
64137 1
0.3%
64050 1
0.3%
63917 1
0.3%
63777 1
0.3%
63713 1
0.3%
63664 1
0.3%
63560 1
0.3%

hospitalizedCumulative
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct253
Distinct (%)88.5%
Missing106
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean34937.864
Minimum16373
Maximum65254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:47.588994image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum16373
5-th percentile18107.5
Q121565
median24126
Q346243.25
95-th percentile63096.5
Maximum65254
Range48881
Interquartile range (IQR)24678.25

Descriptive statistics

Standard deviation15788.187
Coefficient of variation (CV)0.45189331
Kurtosis-1.1329743
Mean34937.864
Median Absolute Deviation (MAD)6820
Skewness0.5885284
Sum9992229
Variance2.4926685 × 108
MonotonicityNot monotonic
2024-01-09T13:42:47.687722image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21565 8
 
2.0%
20632 4
 
1.0%
21184 3
 
0.8%
24160 3
 
0.8%
19267 3
 
0.8%
21321 3
 
0.8%
21314 2
 
0.5%
19010 2
 
0.5%
20774 2
 
0.5%
21949 2
 
0.5%
Other values (243) 254
64.8%
(Missing) 106
27.0%
ValueCountFrequency (%)
16373 1
0.3%
16597 1
0.3%
16778 1
0.3%
16960 1
0.3%
17121 1
0.3%
17197 1
0.3%
17222 1
0.3%
17390 2
0.5%
17604 1
0.3%
17880 1
0.3%
ValueCountFrequency (%)
65254 1
0.3%
64396 1
0.3%
64338 1
0.3%
64137 1
0.3%
64050 1
0.3%
63917 1
0.3%
63777 1
0.3%
63713 1
0.3%
63664 1
0.3%
63560 1
0.3%

hospitalizedCurrently
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct318
Distinct (%)91.6%
Missing45
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean2339.1816
Minimum349
Maximum8270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:47.783515image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum349
5-th percentile423.6
Q1782.5
median2000
Q33450.5
95-th percentile6809.5
Maximum8270
Range7921
Interquartile range (IQR)2668

Descriptive statistics

Standard deviation1874.8197
Coefficient of variation (CV)0.80148533
Kurtosis1.2134252
Mean2339.1816
Median Absolute Deviation (MAD)1272
Skewness1.230316
Sum811696
Variance3514948.9
MonotonicityNot monotonic
2024-01-09T13:42:47.882688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 8
 
2.0%
695 4
 
1.0%
480 2
 
0.5%
1080 2
 
0.5%
1933 2
 
0.5%
3669 2
 
0.5%
800 2
 
0.5%
3638 2
 
0.5%
3543 2
 
0.5%
3677 2
 
0.5%
Other values (308) 319
81.4%
(Missing) 45
 
11.5%
ValueCountFrequency (%)
349 1
0.3%
376 1
0.3%
380 1
0.3%
389 2
0.5%
403 1
0.3%
405 1
0.3%
406 1
0.3%
411 1
0.3%
412 1
0.3%
413 1
0.3%
ValueCountFrequency (%)
8270 1
0.3%
8224 1
0.3%
8185 1
0.3%
8011 1
0.3%
7781 1
0.3%
7718 1
0.3%
7618 1
0.3%
7604 1
0.3%
7594 1
0.3%
7570 1
0.3%

hospitalizedIncrease
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct171
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.27551
Minimum-916
Maximum16373
Zeros139
Zeros (%)35.5%
Negative2
Negative (%)0.5%
Memory size3.2 KiB
2024-01-09T13:42:47.987444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-916
5-th percentile0
Q10
median37.5
Q3117.5
95-th percentile257.9
Maximum16373
Range17289
Interquartile range (IQR)117.5

Descriptive statistics

Standard deviation1077.8284
Coefficient of variation (CV)6.5611019
Kurtosis178.00581
Mean164.27551
Median Absolute Deviation (MAD)37.5
Skewness12.971497
Sum64396
Variance1161714
MonotonicityNot monotonic
2024-01-09T13:42:48.082026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 139
35.5%
64 5
 
1.3%
41 4
 
1.0%
104 4
 
1.0%
71 4
 
1.0%
123 3
 
0.8%
82 3
 
0.8%
25 3
 
0.8%
6 3
 
0.8%
10 3
 
0.8%
Other values (161) 221
56.4%
ValueCountFrequency (%)
-916 1
 
0.3%
-6 1
 
0.3%
0 139
35.5%
2 1
 
0.3%
3 2
 
0.5%
4 2
 
0.5%
5 1
 
0.3%
6 3
 
0.8%
7 1
 
0.3%
9 2
 
0.5%
ValueCountFrequency (%)
16373 1
0.3%
12705 1
0.3%
3909 1
0.3%
3434 1
0.3%
1246 1
0.3%
1117 1
0.3%
440 1
0.3%
400 1
0.3%
384 1
0.3%
325 1
0.3%

inIcuCumulative
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

inIcuCurrently
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct270
Distinct (%)80.6%
Missing57
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean525.40597
Minimum61
Maximum2051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:48.183894image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile81.7
Q1150.5
median417
Q3656.5
95-th percentile1801.9
Maximum2051
Range1990
Interquartile range (IQR)506

Descriptive statistics

Standard deviation494.92532
Coefficient of variation (CV)0.94198648
Kurtosis2.0182566
Mean525.40597
Median Absolute Deviation (MAD)257
Skewness1.6095884
Sum176011
Variance244951.07
MonotonicityNot monotonic
2024-01-09T13:42:48.287369image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 5
 
1.3%
88 5
 
1.3%
169 4
 
1.0%
83 4
 
1.0%
216 4
 
1.0%
519 3
 
0.8%
178 3
 
0.8%
166 3
 
0.8%
126 3
 
0.8%
113 3
 
0.8%
Other values (260) 298
76.0%
(Missing) 57
 
14.5%
ValueCountFrequency (%)
61 1
0.3%
62 1
0.3%
63 1
0.3%
66 2
0.5%
69 1
0.3%
72 2
0.5%
73 1
0.3%
74 1
0.3%
75 1
0.3%
77 1
0.3%
ValueCountFrequency (%)
2051 1
0.3%
2024 1
0.3%
2018 1
0.3%
2014 1
0.3%
1990 1
0.3%
1983 1
0.3%
1980 1
0.3%
1971 1
0.3%
1961 1
0.3%
1940 1
0.3%

negative
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct288
Distinct (%)78.9%
Missing27
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean3578465.9
Minimum31
Maximum10186941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:48.410168image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile14238.2
Q1796261
median2808249
Q35918797
95-th percentile9394152.6
Maximum10186941
Range10186910
Interquartile range (IQR)5122536

Descriptive statistics

Standard deviation3140974.7
Coefficient of variation (CV)0.87774336
Kurtosis-0.90928163
Mean3578465.9
Median Absolute Deviation (MAD)2412081
Skewness0.60268278
Sum1.3061401 × 109
Variance9.8657221 × 1012
MonotonicityNot monotonic
2024-01-09T13:42:48.517630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7309853 4
 
1.0%
9566182 4
 
1.0%
8060712 4
 
1.0%
9333715 4
 
1.0%
8998911 3
 
0.8%
5509434 3
 
0.8%
5918797 3
 
0.8%
6196756 3
 
0.8%
6672479 3
 
0.8%
7005463 3
 
0.8%
Other values (278) 331
84.4%
(Missing) 27
 
6.9%
ValueCountFrequency (%)
31 1
0.3%
35 1
0.3%
44 1
0.3%
57 1
0.3%
74 1
0.3%
97 2
0.5%
120 2
0.5%
163 1
0.3%
190 1
0.3%
210 1
0.3%
ValueCountFrequency (%)
10186941 3
0.8%
10096351 2
0.5%
9983526 1
 
0.3%
9868082 3
0.8%
9807667 1
 
0.3%
9756055 1
 
0.3%
9712105 1
 
0.3%
9674485 1
 
0.3%
9566182 4
1.0%
9502664 1
 
0.3%

negativeIncrease
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct288
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25987.094
Minimum-368
Maximum212974
Zeros104
Zeros (%)26.5%
Negative1
Negative (%)0.3%
Memory size3.2 KiB
2024-01-09T13:42:48.617501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-368
5-th percentile0
Q10
median16908
Q336134.75
95-th percentile97318.7
Maximum212974
Range213342
Interquartile range (IQR)36134.75

Descriptive statistics

Standard deviation36569.75
Coefficient of variation (CV)1.4072273
Kurtosis7.8558782
Mean25987.094
Median Absolute Deviation (MAD)16908
Skewness2.5556691
Sum10186941
Variance1.3373466 × 109
MonotonicityNot monotonic
2024-01-09T13:42:48.710972image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 104
 
26.5%
23 2
 
0.5%
24192 1
 
0.3%
19125 1
 
0.3%
18245 1
 
0.3%
15376 1
 
0.3%
15782 1
 
0.3%
23489 1
 
0.3%
22220 1
 
0.3%
25786 1
 
0.3%
Other values (278) 278
70.9%
ValueCountFrequency (%)
-368 1
 
0.3%
0 104
26.5%
4 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
17 1
 
0.3%
20 1
 
0.3%
23 2
 
0.5%
27 1
 
0.3%
30 1
 
0.3%
ValueCountFrequency (%)
212974 1
0.3%
206401 1
0.3%
188090 1
0.3%
187281 1
0.3%
185042 1
0.3%
184431 1
0.3%
184415 1
0.3%
168877 1
0.3%
156167 1
0.3%
141939 1
0.3%

negativeTestsAntibody
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

negativeTestsPeopleAntibody
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

negativeTestsViral
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

onVentilatorCumulative
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

onVentilatorCurrently
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct234
Distinct (%)69.6%
Missing56
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean366.34821
Minimum26
Maximum1705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:48.808051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile31
Q161.5
median251
Q3453
95-th percentile1468.25
Maximum1705
Range1679
Interquartile range (IQR)391.5

Descriptive statistics

Standard deviation413.61252
Coefficient of variation (CV)1.1290147
Kurtosis2.5438034
Mean366.34821
Median Absolute Deviation (MAD)192
Skewness1.7857085
Sum123093
Variance171075.32
MonotonicityNot monotonic
2024-01-09T13:42:48.902612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 6
 
1.5%
29 5
 
1.3%
34 5
 
1.3%
32 5
 
1.3%
31 5
 
1.3%
73 4
 
1.0%
39 4
 
1.0%
35 4
 
1.0%
79 4
 
1.0%
30 3
 
0.8%
Other values (224) 291
74.2%
(Missing) 56
 
14.3%
ValueCountFrequency (%)
26 1
 
0.3%
27 3
0.8%
28 3
0.8%
29 5
1.3%
30 3
0.8%
31 5
1.3%
32 5
1.3%
33 2
 
0.5%
34 5
1.3%
35 4
1.0%
ValueCountFrequency (%)
1705 1
0.3%
1663 1
0.3%
1650 1
0.3%
1645 1
0.3%
1644 1
0.3%
1641 1
0.3%
1628 1
0.3%
1626 1
0.3%
1611 1
0.3%
1594 2
0.5%

positive
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct367
Distinct (%)99.7%
Missing24
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean285556.04
Minimum2
Maximum812609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:49.003758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3134.85
Q1163568.5
median197239
Q3397184
95-th percentile753735.85
Maximum812609
Range812607
Interquartile range (IQR)233615.5

Descriptive statistics

Standard deviation220392.73
Coefficient of variation (CV)0.77180204
Kurtosis-0.076411079
Mean285556.04
Median Absolute Deviation (MAD)65965
Skewness1.0169161
Sum1.0508462 × 108
Variance4.8572958 × 1010
MonotonicityNot monotonic
2024-01-09T13:42:49.099945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
0.5%
175541 1
 
0.3%
172637 1
 
0.3%
172936 1
 
0.3%
173404 1
 
0.3%
173839 1
 
0.3%
174162 1
 
0.3%
174544 1
 
0.3%
174777 1
 
0.3%
175083 1
 
0.3%
Other values (357) 357
91.1%
(Missing) 24
 
6.1%
ValueCountFrequency (%)
2 1
0.3%
4 2
0.5%
6 1
0.3%
15 1
0.3%
16 1
0.3%
23 1
0.3%
32 1
0.3%
57 1
0.3%
78 1
0.3%
98 1
0.3%
ValueCountFrequency (%)
812609 1
0.3%
810090 1
0.3%
806370 1
0.3%
802669 1
0.3%
799476 1
0.3%
795785 1
0.3%
792496 1
0.3%
789356 1
0.3%
786967 1
0.3%
782833 1
0.3%

positiveCasesViral
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct367
Distinct (%)99.7%
Missing24
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean266015.56
Minimum2
Maximum720939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:49.204978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3134.85
Q1163134.5
median193584.5
Q3363493.5
95-th percentile671838.55
Maximum720939
Range720937
Interquartile range (IQR)200359

Descriptive statistics

Standard deviation193207.65
Coefficient of variation (CV)0.72630207
Kurtosis-0.121184
Mean266015.56
Median Absolute Deviation (MAD)59473.5
Skewness0.94485005
Sum97893725
Variance3.7329195 × 1010
MonotonicityNot monotonic
2024-01-09T13:42:49.301669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
0.5%
174240 1
 
0.3%
171667 1
 
0.3%
171928 1
 
0.3%
172356 1
 
0.3%
172742 1
 
0.3%
173033 1
 
0.3%
173402 1
 
0.3%
173611 1
 
0.3%
173878 1
 
0.3%
Other values (357) 357
91.1%
(Missing) 24
 
6.1%
ValueCountFrequency (%)
2 1
0.3%
4 2
0.5%
6 1
0.3%
15 1
0.3%
16 1
0.3%
23 1
0.3%
32 1
0.3%
57 1
0.3%
78 1
0.3%
98 1
0.3%
ValueCountFrequency (%)
720939 1
0.3%
718873 1
0.3%
715889 1
0.3%
712585 1
0.3%
710046 1
0.3%
707099 1
0.3%
704362 1
0.3%
701725 1
0.3%
699564 1
0.3%
696000 1
0.3%

positiveIncrease
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct338
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2072.9821
Minimum-7
Maximum7880
Zeros25
Zeros (%)6.4%
Negative1
Negative (%)0.3%
Memory size3.2 KiB
2024-01-09T13:42:49.405692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-7
5-th percentile0
Q1381.5
median1188
Q33687.25
95-th percentile5761.6
Maximum7880
Range7887
Interquartile range (IQR)3305.75

Descriptive statistics

Standard deviation2001.5071
Coefficient of variation (CV)0.96552067
Kurtosis-0.59986506
Mean2072.9821
Median Absolute Deviation (MAD)1094
Skewness0.77569523
Sum812609
Variance4006030.7
MonotonicityNot monotonic
2024-01-09T13:42:49.505460image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
 
6.4%
2 3
 
0.8%
258 2
 
0.5%
410 2
 
0.5%
313 2
 
0.5%
2734 2
 
0.5%
367 2
 
0.5%
554 2
 
0.5%
727 2
 
0.5%
2206 2
 
0.5%
Other values (328) 348
88.8%
ValueCountFrequency (%)
-7 1
 
0.3%
0 25
6.4%
1 1
 
0.3%
2 3
 
0.8%
7 1
 
0.3%
9 2
 
0.5%
20 1
 
0.3%
21 1
 
0.3%
25 1
 
0.3%
50 1
 
0.3%
ValueCountFrequency (%)
7880 1
0.3%
7539 1
0.3%
7427 1
0.3%
7147 1
0.3%
7092 1
0.3%
6949 1
0.3%
6888 1
0.3%
6632 1
0.3%
6426 1
0.3%
6369 1
0.3%

positiveScore
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
0
392 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters392
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 392
100.0%

Length

2024-01-09T13:42:49.599025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-09T13:42:49.677212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 392
100.0%

Most occurring characters

ValueCountFrequency (%)
0 392
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 392
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 392
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 392
100.0%

positiveTestsAntibody
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

positiveTestsAntigen
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

positiveTestsPeopleAntibody
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

positiveTestsPeopleAntigen
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

positiveTestsViral
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

recovered
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

totalTestEncountersViral
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

totalTestEncountersViralIncrease
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
0
392 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters392
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 392
100.0%

Length

2024-01-09T13:42:49.740355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-09T13:42:49.818558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 392
100.0%

Most occurring characters

ValueCountFrequency (%)
0 392
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 392
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 392
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 392
100.0%

totalTestResults
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct368
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3600063
Minimum0
Maximum10999550
Zeros24
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:49.895061image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1501231.25
median2666055.5
Q36011316.5
95-th percentile10082782
Maximum10999550
Range10999550
Interquartile range (IQR)5510085.2

Descriptive statistics

Standard deviation3381373.6
Coefficient of variation (CV)0.939254
Kurtosis-0.76394729
Mean3600063
Median Absolute Deviation (MAD)2428217
Skewness0.71033054
Sum1.4112247 × 109
Variance1.1433687 × 1013
MonotonicityDecreasing
2024-01-09T13:42:49.994719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
6.1%
4 2
 
0.5%
1600718 1
 
0.3%
1423344 1
 
0.3%
1443945 1
 
0.3%
1464961 1
 
0.3%
1486598 1
 
0.3%
1509677 1
 
0.3%
1535782 1
 
0.3%
1550375 1
 
0.3%
Other values (358) 358
91.3%
ValueCountFrequency (%)
0 24
6.1%
2 1
 
0.3%
4 2
 
0.5%
37 1
 
0.3%
50 1
 
0.3%
60 1
 
0.3%
80 1
 
0.3%
106 1
 
0.3%
154 1
 
0.3%
175 1
 
0.3%
ValueCountFrequency (%)
10999550 1
0.3%
10997031 1
0.3%
10993311 1
0.3%
10899020 1
0.3%
10895827 1
0.3%
10779311 1
0.3%
10660578 1
0.3%
10657438 1
0.3%
10655049 1
0.3%
10590500 1
0.3%

totalTestResultsIncrease
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct365
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28060.077
Minimum0
Maximum217561
Zeros25
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:50.093528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14331.75
median17687
Q337515.5
95-th percentile101548.45
Maximum217561
Range217561
Interquartile range (IQR)33183.75

Descriptive statistics

Standard deviation37203.123
Coefficient of variation (CV)1.3258382
Kurtosis7.8167477
Mean28060.077
Median Absolute Deviation (MAD)14596.5
Skewness2.5632039
Sum10999550
Variance1.3840723 × 109
MonotonicityNot monotonic
2024-01-09T13:42:50.187323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
 
6.4%
2 2
 
0.5%
2734 2
 
0.5%
43 2
 
0.5%
21611 1
 
0.3%
21016 1
 
0.3%
21637 1
 
0.3%
23079 1
 
0.3%
26105 1
 
0.3%
14593 1
 
0.3%
Other values (355) 355
90.6%
ValueCountFrequency (%)
0 25
6.4%
2 2
 
0.5%
10 1
 
0.3%
13 1
 
0.3%
20 1
 
0.3%
21 1
 
0.3%
26 1
 
0.3%
33 1
 
0.3%
43 2
 
0.5%
48 1
 
0.3%
ValueCountFrequency (%)
217561 1
0.3%
212672 1
0.3%
191403 1
0.3%
190967 1
0.3%
189768 1
0.3%
189191 1
0.3%
188618 1
0.3%
173505 1
0.3%
159684 1
0.3%
146384 1
0.3%

totalTestsAntibody
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

totalTestsAntigen
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

totalTestsPeopleAntibody
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

totalTestsPeopleAntigen
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing392
Missing (%)100.0%
Memory size3.2 KiB

totalTestsPeopleViral
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct65
Distinct (%)97.0%
Missing325
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean113255.01
Minimum1
Maximum312447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:50.283601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.7
Q11931
median94974
Q3203055
95-th percentile291536.6
Maximum312447
Range312446
Interquartile range (IQR)201124

Descriptive statistics

Standard deviation105870.4
Coefficient of variation (CV)0.93479658
Kurtosis-1.2426123
Mean113255.01
Median Absolute Deviation (MAD)94022
Skewness0.43521013
Sum7588086
Variance1.1208542 × 1010
MonotonicityDecreasing
2024-01-09T13:42:50.381699image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147 2
 
0.5%
1 2
 
0.5%
298759 1
 
0.3%
2241 1
 
0.3%
75356 1
 
0.3%
67503 1
 
0.3%
59110 1
 
0.3%
52642 1
 
0.3%
45773 1
 
0.3%
41860 1
 
0.3%
Other values (55) 55
 
14.0%
(Missing) 325
82.9%
ValueCountFrequency (%)
1 2
0.5%
4 1
0.3%
37 1
0.3%
46 1
0.3%
59 1
0.3%
81 1
0.3%
104 1
0.3%
147 2
0.5%
218 1
0.3%
298 1
0.3%
ValueCountFrequency (%)
312447 1
0.3%
305206 1
0.3%
298759 1
0.3%
292658 1
0.3%
288920 1
0.3%
287623 1
0.3%
277220 1
0.3%
275066 1
0.3%
262312 1
0.3%
256545 1
0.3%

totalTestsPeopleViralIncrease
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct67
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-312447
Maximum12754
Zeros326
Zeros (%)83.2%
Negative1
Negative (%)0.3%
Memory size3.2 KiB
2024-01-09T13:42:50.481638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-312447
5-th percentile0
Q10
median0
Q30
95-th percentile6772.15
Maximum12754
Range325201
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15978.805
Coefficient of variation (CV)nan
Kurtosis376.66088
Mean0
Median Absolute Deviation (MAD)0
Skewness-19.208708
Sum0
Variance2.5532222 × 108
MonotonicityNot monotonic
2024-01-09T13:42:50.578315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 326
83.2%
962 1
 
0.3%
6866 1
 
0.3%
6810 1
 
0.3%
7853 1
 
0.3%
8393 1
 
0.3%
6468 1
 
0.3%
6869 1
 
0.3%
3913 1
 
0.3%
6258 1
 
0.3%
Other values (57) 57
 
14.5%
ValueCountFrequency (%)
-312447 1
 
0.3%
0 326
83.2%
1 1
 
0.3%
3 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
22 1
 
0.3%
23 1
 
0.3%
33 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
12754 1
0.3%
10403 1
0.3%
10305 1
0.3%
9458 1
0.3%
8797 1
0.3%
8627 1
0.3%
8489 1
0.3%
8393 1
0.3%
8152 1
0.3%
7853 1
0.3%

totalTestsViral
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct226
Distinct (%)75.1%
Missing91
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean4638358.4
Minimum425933
Maximum10902830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:50.676470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum425933
5-th percentile635892
Q11887644
median3842667
Q37295523
95-th percentile10244488
Maximum10902830
Range10476897
Interquartile range (IQR)5407879

Descriptive statistics

Standard deviation3135329
Coefficient of variation (CV)0.6759566
Kurtosis-1.0344465
Mean4638358.4
Median Absolute Deviation (MAD)2308027
Skewness0.49264915
Sum1.3961459 × 109
Variance9.8302877 × 1012
MonotonicityDecreasing
2024-01-09T13:42:50.779374image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7792714 4
 
1.0%
10244488 4
 
1.0%
8616011 4
 
1.0%
9997131 4
 
1.0%
9639998 3
 
0.8%
5827339 3
 
0.8%
6280783 3
 
0.8%
6587012 3
 
0.8%
7095705 3
 
0.8%
7460365 3
 
0.8%
Other values (216) 267
68.1%
(Missing) 91
 
23.2%
ValueCountFrequency (%)
425933 1
0.3%
433060 1
0.3%
441450 1
0.3%
451696 1
0.3%
462972 1
0.3%
475224 1
0.3%
487565 1
0.3%
505569 1
0.3%
520182 1
0.3%
531343 1
0.3%
ValueCountFrequency (%)
10902830 3
0.8%
10806397 2
0.5%
10690625 1
 
0.3%
10567646 3
0.8%
10503667 1
 
0.3%
10448986 1
 
0.3%
10402049 1
 
0.3%
10361871 1
 
0.3%
10244488 4
1.0%
10178377 1
 
0.3%

totalTestsViralIncrease
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct227
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27813.342
Minimum0
Maximum425933
Zeros166
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-09T13:42:50.883918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17576
Q337720.25
95-th percentile102744.15
Maximum425933
Range425933
Interquartile range (IQR)37720.25

Descriptive statistics

Standard deviation43898.659
Coefficient of variation (CV)1.578331
Kurtosis21.281554
Mean27813.342
Median Absolute Deviation (MAD)17576
Skewness3.6653487
Sum10902830
Variance1.9270923 × 109
MonotonicityNot monotonic
2024-01-09T13:42:50.975751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166
42.3%
10924 1
 
0.3%
43227 1
 
0.3%
22438 1
 
0.3%
18702 1
 
0.3%
49549 1
 
0.3%
36765 1
 
0.3%
16882 1
 
0.3%
58841 1
 
0.3%
30552 1
 
0.3%
Other values (217) 217
55.4%
ValueCountFrequency (%)
0 166
42.3%
7127 1
 
0.3%
8390 1
 
0.3%
9024 1
 
0.3%
9687 1
 
0.3%
10246 1
 
0.3%
10924 1
 
0.3%
11040 1
 
0.3%
11161 1
 
0.3%
11276 1
 
0.3%
ValueCountFrequency (%)
425933 1
0.3%
227054 1
0.3%
223176 1
0.3%
199818 1
0.3%
199623 1
0.3%
197153 1
0.3%
196675 1
0.3%
194218 1
0.3%
185884 1
0.3%
167610 1
0.3%

Interactions

2024-01-09T13:42:43.225623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:09.345478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:10.994809image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.544688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.275922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:15.899880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.600795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:19.156003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.842726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.697461image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.370248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:25.995118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.832614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.493019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:31.210959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:32.898115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:34.910901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.531783image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:38.175685image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.709481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.455361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:43.303611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:09.423020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:11.060986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.613886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.352039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:15.970839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.677186image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:19.230968image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.920196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.769544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.440595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:26.063929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.902396image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.571162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:31.286009image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:32.973280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:34.983008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.604623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:38.249037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.783619image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.540769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:43.777751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:09.489571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:11.126278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.683671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.426437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:16.039291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.749194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:19.305529image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.999264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.855730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.511261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:26.133510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.991102image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.649505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:31.361731image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:33.051787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:35.055068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.679798image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:38.318211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.857531image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.622688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:43.861464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:09.559052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:11.198202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.761401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.500870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:16.114206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.826080image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:19.382057image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:21.075361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.932465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.586259image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:26.213940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:28.069097image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.729353image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:31.437359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:33.132290image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:35.129093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.758530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:38.391256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.938517image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.703239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:43.939973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:09.630578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:11.268618image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.836323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.574854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:16.192148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.905932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:19.460524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:21.152014image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:23.018473image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.659680image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:26.289540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:28.143560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.810301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:31.514953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:33.213179image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:35.204753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.837098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:38.470483image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:40.015209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.796118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:44.008668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:09.702041image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:11.336600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.909819image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.650785image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:16.258555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.977370image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2024-01-09T13:42:40.849500image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:42.640515image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:44.791472image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:10.557257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.106051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:13.824375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:15.442011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.187829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:18.735518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.364234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.231300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:23.918422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:25.535387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.391611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.016175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:30.731668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:32.422491image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:34.124634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.076245image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:37.717162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.273422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:40.943635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:42.732434image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:44.868679image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:10.629787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.179102image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:13.902356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:15.515972image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.255881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:18.805966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.446654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.310555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:23.999578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:25.612795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.466136image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.095997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:30.813676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:32.504456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:34.515510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.150654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:37.794608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.347296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.031614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:42.817135image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:44.943195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:10.701232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.248603image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:13.972836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:15.592152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.323893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:18.875791image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.523141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.385855image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.071681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:25.687493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.537276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.175721image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:30.890540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:32.581502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:34.591067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.225804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:37.864648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.423416image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.112915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:42.898194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:45.021177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:10.772244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.319535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.046435image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:15.668676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.385826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:18.940763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.598278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.460356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.139533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:25.765371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.609702image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.251952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:30.968179image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:32.659505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:34.662423image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.301205image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:37.942478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.497058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.200835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:42.971425image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:45.105116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:10.849801image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.396054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.126453image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:15.748875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.457245image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:19.015758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.683183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.543735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.219559image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:25.845932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.687510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.339923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:31.055955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:32.748291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:34.749521image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.383611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:38.023910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.574132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.288273image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:43.060260image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:45.182203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:10.924823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:12.471329image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:14.199539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:15.827409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:17.529167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:19.087325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:20.764099image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:22.621608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:24.295257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:25.920194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:27.761719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:29.415013image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:31.132676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:32.822014image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:34.831608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:36.456557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:38.100723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:39.639300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:41.372635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-01-09T13:42:43.143166image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-01-09T13:42:51.069635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
deathdeathConfirmeddeathIncreasedeathProbablehospitalizedhospitalizedCumulativehospitalizedCurrentlyhospitalizedIncreaseinIcuCurrentlynegativenegativeIncreaseonVentilatorCurrentlypositivepositiveCasesViralpositiveIncreasetotalTestResultstotalTestResultsIncreasetotalTestsPeopleViraltotalTestsPeopleViralIncreasetotalTestsViraltotalTestsViralIncrease
death1.0001.0000.1391.0001.0001.000-0.0060.720-0.0721.0000.337-0.1271.0001.0000.6461.0000.4871.000-0.5281.0000.451
deathConfirmed1.0001.000-0.0911.0001.0001.000-0.0060.673-0.0721.0000.244-0.1271.0001.0000.5521.0000.3491.000-0.6201.0000.382
deathIncrease0.139-0.0911.0000.1400.2800.2800.8510.2390.855-0.0640.1480.880-0.039-0.0390.6180.1390.2370.7960.3060.1350.052
deathProbable1.0001.0000.1401.0001.0001.000-0.0060.721-0.0721.0000.338-0.1271.0001.0000.6471.0000.4880.997-0.5311.0000.452
hospitalized1.0001.0000.2801.0001.0001.0000.5700.4250.4891.0000.1360.4151.0001.0000.8081.0000.181NaNNaN1.0000.149
hospitalizedCumulative1.0001.0000.2801.0001.0001.0000.5700.4250.4891.0000.1360.4151.0001.0000.8081.0000.181NaNNaN1.0000.149
hospitalizedCurrently-0.006-0.0060.851-0.0060.5700.5701.0000.1220.978-0.006-0.1510.963-0.006-0.0060.715-0.006-0.1000.1990.4760.399-0.200
hospitalizedIncrease0.7200.6730.2390.7210.4250.4250.1221.0000.1140.6790.3750.0850.6840.6840.5210.7200.490NaN-0.4880.4960.472
inIcuCurrently-0.072-0.0720.855-0.0720.4890.4890.9780.1141.000-0.072-0.1460.986-0.072-0.0720.648-0.072-0.101-0.4730.5020.278-0.194
negative1.0001.000-0.0641.0001.0001.000-0.0060.679-0.0721.0000.251-0.1271.0001.0000.5641.0000.3681.000-0.6291.0000.392
negativeIncrease0.3370.2440.1480.3380.1360.136-0.1510.375-0.1460.2511.000-0.1650.2590.2590.2020.3380.9710.685-0.2610.1480.970
onVentilatorCurrently-0.127-0.1270.880-0.1270.4150.4150.9630.0850.986-0.127-0.1651.000-0.127-0.1270.582-0.127-0.124-0.8250.5080.214-0.217
positive1.0001.000-0.0391.0001.0001.000-0.0060.684-0.0721.0000.259-0.1271.0001.0000.5741.0000.3811.000-0.6311.0000.397
positiveCasesViral1.0001.000-0.0391.0001.0001.000-0.0060.684-0.0721.0000.259-0.1271.0001.0000.5741.0000.3811.000-0.6311.0000.397
positiveIncrease0.6460.5520.6180.6470.8080.8080.7150.5210.6480.5640.2020.5820.5740.5741.0000.6470.3500.5480.0650.7640.192
totalTestResults1.0001.0000.1391.0001.0001.000-0.0060.720-0.0721.0000.338-0.1271.0001.0000.6471.0000.4881.000-0.5251.0000.451
totalTestResultsIncrease0.4870.3490.2370.4880.1810.181-0.1000.490-0.1010.3680.971-0.1240.3810.3810.3500.4881.0000.676-0.3350.1860.960
totalTestsPeopleViral1.0001.0000.7960.997NaNNaN0.199NaN-0.4731.0000.685-0.8251.0001.0000.5481.0000.6761.0000.675NaNNaN
totalTestsPeopleViralIncrease-0.528-0.6200.306-0.531NaNNaN0.476-0.4880.502-0.629-0.2610.508-0.631-0.6310.065-0.525-0.3350.6751.0000.100-0.467
totalTestsViral1.0001.0000.1351.0001.0001.0000.3990.4960.2781.0000.1480.2141.0001.0000.7641.0000.186NaN0.1001.0000.157
totalTestsViralIncrease0.4510.3820.0520.4520.1490.149-0.2000.472-0.1940.3920.970-0.2170.3970.3970.1920.4510.960NaN-0.4670.1571.000

Missing values

2024-01-09T13:42:45.340180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-09T13:42:45.779261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-01-09T13:42:46.049098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

datestatedeathdeathConfirmeddeathIncreasedeathProbablehospitalizedhospitalizedCumulativehospitalizedCurrentlyhospitalizedIncreaseinIcuCumulativeinIcuCurrentlynegativenegativeIncreasenegativeTestsAntibodynegativeTestsPeopleAntibodynegativeTestsViralonVentilatorCumulativeonVentilatorCurrentlypositivepositiveCasesViralpositiveIncreasepositiveScorepositiveTestsAntibodypositiveTestsAntigenpositiveTestsPeopleAntibodypositiveTestsPeopleAntigenpositiveTestsViralrecoveredtotalTestEncountersViraltotalTestEncountersViralIncreasetotalTestResultstotalTestResultsIncreasetotalTestsAntibodytotalTestsAntigentotalTestsPeopleAntibodytotalTestsPeopleAntigentotalTestsPeopleViraltotalTestsPeopleViralIncreasetotalTestsViraltotalTestsViralIncrease
02021-03-07NJ2357421177.017239764396.064396.01792.058NaN376.010186941.00NaNNaNNaNNaN232.0812609.0720939.025190NaNNaNNaNNaNNaNNaNNaN0109995502519NaNNaNNaNNaNNaN010902830.00
12021-03-06NJ2355721160.036239764338.064338.01862.0-916NaN382.010186941.00NaNNaNNaNNaN233.0810090.0718873.037200NaNNaNNaNNaNNaNNaNNaN0109970313720NaNNaNNaNNaNNaN010902830.00
22021-03-05NJ2352121124.030239765254.065254.01881.01117NaN389.010186941.090590NaNNaNNaNNaN223.0806370.0715889.037010NaNNaNNaNNaNNaNNaNNaN01099331194291NaNNaNNaNNaNNaN010902830.096433
32021-03-04NJ2349121094.042239764137.064137.01900.087NaN376.010096351.00NaNNaNNaNNaN214.0802669.0712585.031930NaNNaNNaNNaNNaNNaNNaN0108990203193NaNNaNNaNNaNNaN010806397.00
42021-03-03NJ2344921052.0128239764050.064050.01921.0133NaN403.010096351.0112825NaNNaNNaNNaN243.0799476.0710046.036910NaNNaNNaNNaNNaNNaNNaN010895827116516NaNNaNNaNNaNNaN010806397.0115772
52021-03-02NJ2332120990.048233163917.063917.01915.0140NaN395.09983526.0115444NaNNaNNaNNaN228.0795785.0707099.032890NaNNaNNaNNaNNaNNaNNaN010779311118733NaNNaNNaNNaNNaN010690625.0122979
62021-03-01NJ2327320942.021233163777.063777.01865.064NaN387.09868082.00NaNNaNNaNNaN226.0792496.0704362.031400NaNNaNNaNNaNNaNNaNNaN0106605783140NaNNaNNaNNaNNaN010567646.00
72021-02-28NJ2325220921.014233163713.063713.01849.049NaN393.09868082.00NaNNaNNaNNaN229.0789356.0701725.023890NaNNaNNaNNaNNaNNaNNaN0106574382389NaNNaNNaNNaNNaN010567646.00
82021-02-27NJ2323820907.046233163664.063664.01919.0104NaN404.09868082.060415NaNNaNNaNNaN248.0786967.0699564.041340NaNNaNNaNNaNNaNNaNNaN01065504964549NaNNaNNaNNaNNaN010567646.063979
92021-02-26NJ2319220861.045233163560.063560.02008.0119NaN439.09807667.051612NaNNaNNaNNaN270.0782833.0696000.038700NaNNaNNaNNaNNaNNaNNaN01059050055482NaNNaNNaNNaNNaN010503667.054681
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